class_docstr: Dataset of Reddit comments with one or more emotion labels.
docstr: Returns SplitGenerators.
docstr_tok: ["Returns","SplitGenerators","."]
code: def _split_generators(self, dl_manager):
      """Returns SplitGenerators."""
  
      # Download the data.
      dl_paths = dl_manager.download(
          {
              "train": _URL_TRAIN,
              "test": _URL_TEST,
              "dev": _URL_DEV,
          }
      )
  
      # Specify the splits.
      return [
          tfds.core.SplitGenerator(
              name=tfds.Split.TRAIN,
              gen_kwargs={
                  "filename": dl_paths["train"],
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.VALIDATION,
              gen_kwargs={
                  "filename": dl_paths["dev"],
              },
          ),
          tfds.core.SplitGenerator(
              name=tfds.Split.TEST,
              gen_kwargs={
                  "filename": dl_paths["test"],
              },
          ),
      ]
  
file_path: datasets/tensorflow_datasets/text/goemotions.py
imports: import csv
  from etils import epath
  from tensorflow_datasets.core.utils.lazy_imports_utils import tensorflow
  import tensorflow_datasets.public_api
label_desc: Use image node_id 2 for calling the Goemotions obj's underlying member method code with example usage: obj._split_generators(dl_manager) and returns: list